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Multi-omics profiling of mouse polycystic kidney disease progression at a single cell resolution
by
Yoshimura, Yasuhiro
, Outeda, Patricia
, Humphreys, Benjamin D
, Wu, Haojia
, Mahjoub, Moe R
, Watnick, Terry J
, Muto, Yoshiharu
, Chang-Panesso, Monica
, Woodward, Owen M
, Ledru, Nicolas
, Cheng, Tao
in
Genomics
2024
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Multi-omics profiling of mouse polycystic kidney disease progression at a single cell resolution
by
Yoshimura, Yasuhiro
, Outeda, Patricia
, Humphreys, Benjamin D
, Wu, Haojia
, Mahjoub, Moe R
, Watnick, Terry J
, Muto, Yoshiharu
, Chang-Panesso, Monica
, Woodward, Owen M
, Ledru, Nicolas
, Cheng, Tao
in
Genomics
2024
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Do you wish to request the book?
Multi-omics profiling of mouse polycystic kidney disease progression at a single cell resolution
by
Yoshimura, Yasuhiro
, Outeda, Patricia
, Humphreys, Benjamin D
, Wu, Haojia
, Mahjoub, Moe R
, Watnick, Terry J
, Muto, Yoshiharu
, Chang-Panesso, Monica
, Woodward, Owen M
, Ledru, Nicolas
, Cheng, Tao
in
Genomics
2024
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Multi-omics profiling of mouse polycystic kidney disease progression at a single cell resolution
Journal Article
Multi-omics profiling of mouse polycystic kidney disease progression at a single cell resolution
2024
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Overview
Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disease and causes significant morbidity, ultimately leading to end-stage kidney disease. PKD pathogenesis is characterized by complex and dynamic alterations in multiple cell types during disease progression, hampering a deeper understanding of disease mechanism and the development of therapeutic approaches. Here, we generate a single nucleus multimodal atlas of an orthologous mouse PKD model at early, mid and late timepoints, consisting of 125,434 single-nucleus transcriptomic and epigenetic multiomes. We catalogue differentially expressed genes and activated epigenetic regions in each cell type during PKD progression, characterizing cell-type-specific responses to Pkd1 deletion. We describe heterogeneous, atypical collecting duct cells as well as proximal tubular cells that constitute cyst epithelia in PKD. The transcriptional regulation of the cyst lining cell marker GPRC5A is conserved between mouse and human PKD cystic epithelia, suggesting shared gene regulatory pathways. Our single nucleus multiomic analysis of mouse PKD provides a foundation to understand the earliest changes molecular deregulation in a mouse model of PKD at a single-cell resolution.Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disease and causes significant morbidity, ultimately leading to end-stage kidney disease. PKD pathogenesis is characterized by complex and dynamic alterations in multiple cell types during disease progression, hampering a deeper understanding of disease mechanism and the development of therapeutic approaches. Here, we generate a single nucleus multimodal atlas of an orthologous mouse PKD model at early, mid and late timepoints, consisting of 125,434 single-nucleus transcriptomic and epigenetic multiomes. We catalogue differentially expressed genes and activated epigenetic regions in each cell type during PKD progression, characterizing cell-type-specific responses to Pkd1 deletion. We describe heterogeneous, atypical collecting duct cells as well as proximal tubular cells that constitute cyst epithelia in PKD. The transcriptional regulation of the cyst lining cell marker GPRC5A is conserved between mouse and human PKD cystic epithelia, suggesting shared gene regulatory pathways. Our single nucleus multiomic analysis of mouse PKD provides a foundation to understand the earliest changes molecular deregulation in a mouse model of PKD at a single-cell resolution.
Publisher
Cold Spring Harbor Laboratory
Subject
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